Deep learning with word embeddings improves biomedical named entity recognition

MOTIVATION: Text mining has become an important tool for biomedical research. The most fundamental text-mining task is the recognition of biomedical named entities (NER), such as genes, chemicals and diseases. Current NER methods rely on pre-defined features which try to capture the specific surface...

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Detalles Bibliográficos
Autores principales: Habibi, Maryam, Weber, Leon, Neves, Mariana, Wiegandt, David Luis, Leser, Ulf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870729/
https://www.ncbi.nlm.nih.gov/pubmed/28881963
http://dx.doi.org/10.1093/bioinformatics/btx228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870729/
https://www.ncbi.nlm.nih.gov/pubmed/28881963
http://dx.doi.org/10.1093/bioinformatics/btx228

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